Abstract：NO2 is an important trace gas and its monitoring contributes to air pollution control. Based on the tropospheric vertical column and total vertical column of NO2 provided by the Sentinel-5P air pollution monitoring satellite, we analyzed spatial-temporal characteristics of NO2 in China during 2018~2021 by Google Earth Engine (GEE) and revealed the main drivers of NO2 concentration using OLS model. Results showed that there were a spatial pattern with high in the east and low in the west regarding the tropospheric vertical column of NO2 in China. A seasonal pattern with high in winter, low in summer and excessive in spring and autumn, was presented in the eastern and central city clusters and Urumqi city. The western cities, however, had less significant changes within seasons. The concentration distribution of tro NO2 in Beijing, Shanghai and Shenzhen showed a significant circle structure. The OLS model results showed that the atmospheric NO2 concentration in China was influenced collectively by socio-economic and natural factors, with the degree of urbanization being the critical factor driving NO2 emissions.
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